Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Computed Tomography01:10

Computed Tomography

4.2K
Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
4.2K
Imaging Studies I: CT and MRI01:14

Imaging Studies I: CT and MRI

193
Introduction: MRI and CT scans are crucial advancements in medical imaging techniques, playing a vital role in diagnosing conditions related to the gastrointestinal (GI) system. Each scan serves distinct purposes, targets specific areas, and requires unique nursing duties.
Description of the Procedures
Computed Tomography (CT) scan:
Computed Tomography (CT) scans use X-ray technology to generate detailed images of bones, organs, and tissues. During the scan, the patient lies on a moving table...
193
Electron Microscope Tomography and Single-particle Reconstruction01:07

Electron Microscope Tomography and Single-particle Reconstruction

2.4K
Transmission electron microscopy (TEM) can be used to determine the 3D structure of biological samples with the help of techniques such as electron microscope tomography and single-particle reconstruction. While single-particle reconstruction can examine macromolecules and macromolecular complexes in vitro conditions only, tomography permits the study of cell components or small cells in vivo.
Electron Tomography
Electron tomography can be performed either in TEM or STEM (scanning transmission...
2.4K
Imaging Studies for Cardiovascular System V: CT01:28

Imaging Studies for Cardiovascular System V: CT

1
Cardiac computed tomography (CT) scanning is an advanced cardiac imaging technique that utilizes CT technology, with or without intravenous (IV) contrast, to produce accurate cross-sectional virtual slices of specific areas of the heart, coronary circulation, and major blood vessels such as the aorta, pulmonary veins, and arteries. The computer processes these slices to generate three-dimensional images. Multidetector CT (MDCT) is a rapid form of CT scanning that captures multiple slices...
1

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Antennal Transcriptome Profiling Reveals Gustatory Receptors Associated with Pollen Foraging Preferences in <i>Apis mellifera</i>.

Animals : an open access journal from MDPI·2026
Same author

A CD36-targeted aptamer-4-butyl-polyhydroxybenzophenone conjugate with pH-responsive release for liver delivery in MASLD.

Regenerative biomaterials·2026
Same author

Draft Genome and Comparative Analysis of a <i>Cutaneotrichosporon jirovecii</i>-Related Yeast Recovered from a Human Fecal Sample.

Journal of fungi (Basel, Switzerland)·2026
Same author

Discovery of New Butyrylcholinesterase Inhibitors and Evaluation of Their Biological Activity against Alzheimer's Disease.

ACS chemical neuroscience·2026
Same author

Coexistence of social isolation and loneliness and associated factors among colorectal cancer patients with permanent colostomy: A cross-sectional study.

European journal of oncology nursing : the official journal of European Oncology Nursing Society·2026
Same author

Trajectories and Influencing Factors of Depression in Patients with H-Type Hypertension-Related Ischemic Stroke: A Single-Center Longitudinal Study.

Patient preference and adherence·2026

相关实验视频

Updated: Jun 4, 2025

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
04:48

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

Published on: July 5, 2024

367

TD-STrans:基于稀疏变压器的三域稀疏视图CT重建.

Yu Li1, Xueqin Sun1, Sukai Wang2

  • 1Department of Information and Communication Engineering, North University of China, Taiyuan 030051, China; The State Key Lab for Electronic Testing Technology, North University of China, Taiyuan 030051, China.

Computer methods and programs in biomedicine
|December 29, 2024
PubMed
概括

一个新的三域稀疏变压器 (TD-STrans) 模型通过集成频域信息来增强稀疏视图计算机断层扫描 (CT). 这种方法有效地减少了过度平滑,并在低视图CT扫描中保存图像细节.

关键词:
深度学习是一种深度学习.多域关节功能损失多域关节功能损失稀少的变压器的变压器.稀疏视图计算机断层扫描 (CT)

更多相关视频

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images
04:23

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images

Published on: April 21, 2023

1.7K
Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer
07:53

Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer

Published on: October 13, 2023

1.4K

相关实验视频

Last Updated: Jun 4, 2025

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
04:48

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

Published on: July 5, 2024

367
A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images
04:23

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images

Published on: April 21, 2023

1.7K
Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer
07:53

Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer

Published on: October 13, 2023

1.4K

科学领域:

  • 医疗成像医学成像
  • 计算成像技术的成像
  • 放射学中的人工智能

背景情况:

  • 稀疏视图计算机断层扫描 (CT) 加快扫描并降低辐射剂量.
  • 在稀疏视图CT中严重的样本不足导致过度平滑和深度学习重建中的高频细节丢失.

研究的目的:

  • 介绍一个新的稀疏视图CT重建模型,三域稀疏变压器 (TD-STrans).
  • 通过结合频域信息来解决低视图CT中的过度光滑和细节损失.

主要方法:

  • TD-STrans使用三个模块:投影恢复,高频细节的富里埃域填充和图像精细化.
  • 多域关节损失函数优化了在投影,图像和频率领域的重建质量.

主要成果:

  • TD-STrans有效地去除了文物,并抑制了过度光滑.
  • 该模型在模拟 (淋巴结) 和真实 (核桃) 数据集中都证明了结构忠实性的优越保存.

结论:

  • TD-STrans模型,利用多个领域的稀疏变压器,成功地减轻了稀疏视图CT中的过度光滑和细节损失.
  • 这为超稀疏视图CT成像重建提供了一个有前途的新方法.